Remember when Robotic Process Automation (RPA) first burst onto the business scene and promised to revolutionize operations? We were thrilled at being able to automate the many tedious, repetitive office tasks that had historically relied on human effort. Finally, software bots could replicate what humans did manually for eons! No more mind-numbing data entries, form fills, report generations wasting thousands of workforce hours. Enterprises dove into RPA adoption in a big way as Return on Investment calculators went ting!
But then you hit some speed breakers…
Bots needed too much hand-holding dealing with system disruptions. Reviewing legal contracts took more intuitive judgment. Customer queries got too complex for rule-based bots. And before you knew it – RPA hit its limits in scaling automation to areas needing cognitive abilities.
What if you could combine RPA’s process execution prowess with technologies that code human-like intelligence into applications? That’s where the dual power of Artificial Intelligence (AI) and Machine Learning (ML) comes in to push automation into uncharted territories! Let’s explore how…
Blending Bots with Brains
RPA robots follow programmed commands flawlessly. But they lack the perception, reasoning, and decision making capabilities required for non-routine tasks. That’s exactly what AI and ML infuse into the bots – the ability to comprehend documents, recognize patterns, interpret data, learn from interactions, make judgments…thus expanding the scope of automation dramatically.
Think of it as an Iron Man style transformation of bots with upgraded AI capabilities!
Your Revised ML-powered bot can now evaluate mortgage applications taking numeric data and documents as inputs to decide on appropriate loan offers fully automatically! HR bot assesses job applications based on custom policies you configured instead of simply rejecting incomplete entries. Support bot doesn’t just answer FAQs anymore but handles varied customer queries with human-like dialogues.
The use cases are mindboggling thanks to the nifty RPA and AI combo placing augmented intelligence in the hands of enterprises. Instances involving perception, problem-solving, dynamic interactions where the right decision is quite ambiguous without larger context, high-volume data processing – can now be automated leveraging AI’s cognitive abilities.
Real-World Transformations
Here are some inspiring examples across industries integrating RPA with AI:
Mortgage Lending Process @ Large Australian Bank
- Chatbot captures customer application information
- RPA extracts data, fills forms, runs eligibility checks
- AI tools verify financial documents, assess creditworthiness
- Bots finalize compliant mortgage offers in hours!
- Legal Contract Reviews @ Silicon Valley Company
- NLP analyzes contracts with high comprehension
- Bots identify key terms, clauses vs policies
- Recommend modifications to lawyers
- 7 minute review process achieved!
- IT Support Incidents @ Managed Services Firm
- Chatbot logs issues, creates tickets
- RPA categorizes, matches solutions, triggers workflows
- Only unique cases escalated to techs
- ML continually improves solutions database
With speed, quality and efficiency showing compelling improvements, RPA amplified by AI promises tremendous value. Research shows most large companies are now looking at AI implementations piggybacking on existing automation foundations. And the numbers speak volumes – Gartner predicts 85% of big enterprises will have integrated AI capabilities with RPA by 2026!
Gearing for Supercharged Success
The possibilities might excite you but integrating emerging technologies can get tricky. The foundation needs meticulous planning for this rocket to safely blast through the atmosphere.
Here are 5 key strategies I recommend based on patterns seen in early adopters:
- Standardize processes first, optimize efficiency with RPA, before overlaying intelligence tools.
- Determine task allocation between automation and human staff clearly based on process complexity. Play to their individual strengths.
- Design solutions focused on enhancing the human-bot collaboration targeting superior user experience.
- Ensure ML model transparency for explainable predictions critical for user trust.
- Begin implementation in phases – pilot proven high ROI processes first and iterate.
Right enterprise posture backing the RPA and AI merger with robust governance, change management and leadership support can amplify transformation success.
The Automation Awakening
With exponential innovations in AI bringing capabilities closer to human intelligence paired with RPA’s incredible process execution ability – enterprises are awakening to new possibilities. Autonomous operations can scale new heights optimizing costs and efficiencies while allowing staff to focus on higher judgement-intensive contributions.
RPA integrated with AI and ML heralds the next era of hyper automation with smarter self-learning bots! It holds the promise for increased productivity and improved customer experiences catapulting business performance. Time to buckle up for the rocket ride ahead!
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tags: Artificial Intelligence, Ai, Dhaka Ai, Ai in Bangladesh, Ai In Dhaka, USA
